Analysis of data mining methods for classification of multidimensional medico-biological objects

The paper presents the analysis and comparison of different methods for classification of multidimensional biomedical objects, applied in the field of "data mining": decision trees, support vector machines and hybrid neural networks. The effectiveness of these methods was checked by the example images of sputum cell structures on cytology preparations.